Prior efforts to develop hardware for optimization problems have involved Ising machines, a category of hardware solvers that incorporate the Ising model to find the absolute or approximate “ground ...

We investigate risk-averse stochastic optimization problems with a risk-shaping constraint in the form of a stochastic-order relation. Both univariate and multivariate orders are considered. We extend ...

A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.

The optimization mode requires quantum effects, can solve a growing list of problems.

ExxonMobil and IBM's researchers have been working together to find quantum algorithms that could manage the global fleet of merchant ships.